While Connecting Creative Communities on my Road Trip the keynote speaker at https://www.haystackconnect.org/ provided this inspiration and insight;
He started with; You Know what you know, You know what you do not know, but You do not know what You do not know? Profound words that describe our journey of digital transformation very well.
These words are haunting and festering in my mind as I imagine all the things that I do not know that I do not know. It is the time-warped age of information that we now live in when a new URL or a new App or YouTube can create a new direction with new prospects while teaching us something we do not know. Keynote presentation link below.
You Didn’t Know What You Didn’t Know – Bringing Organization to the Data Chaos to Derive Insight and Generate Actions, Keynote Presentation: Jim Fletcher, Strategy Partner, Momenta Partners
Jim Fletcher is an independent advisor, working with Momenta Partners as a Strategy Partner, focused on working with clients worldwide to drive Digital Transformation across a range of industries. Jim is a former IBM Distinguished Engineer, CTO for the Watson IOT Platform, IBM Master Inventor, and member of the IBM Academy, with extensive experience especially around Connected Industry (Cloud and IOT) with a strong focus on Edge Computing, and the role of analytics in driving business transformation. Jim holds over 60 patents, and is a regular speaker at conferences worldwide on a range of emerging topics. Jim is a member of the NC State University Executive in Residence program, and was recently inducted into the NC State University Computer Science Hall of Fame.
Intelligence is the new Disruptor• Effective use of data is the new differentiator across industries
• Data, and more importantly, the ability to effectively manage and index, and derive insights from that data is key
• Leading companies are moving to monetize their intelligence at new levels
• “As a service” driven by data is a game changer allowing companies to transition from CAPEX to OPEX driven models
Data Democracy
• Finding the balance between open access and security controls is an increasing challenge
• Data siloes as a proxy for security significantly limit data value
• The value of the data is a direct function of how easily it can be leveraged by the average user, not the data scientist
• As we move from an era of business intelligence (BI) to one of Artificial Intelligence (AI) our approach to data must evolve
• Data quality must be a key element of the data ingest process, not a post-storage access level service
Going to conferences is a great way to learn what we do not know, we need to push ourselves out of our comfort zone and into the environment where we will learn what we do not know. Learning to think like machines is something we do not know how to do but it in us but it requires looking deep inside ourselves like this picture of Robo Ken my machine alternate self. ;-)
Haystack Connect 2019 https://twitter.com/haystackconnect
was organized and produced by the Project Haystack Organization—an open source community of people and companies who share the vision that a connected, collaborative community can move the industry forward in ways that no single supplier can! The event builds on the inspiration and mission of the community to address the challenges of making smart device data work seamlessly across applications of all types.
Brian Frank, was a Co-founder of Tridium and Chief Architect of the highly successful Niagara Framework. Brian is also a founder and contributor to key open source initiatives in smart device industry including: oBIX, CoAP, Sedona, Fantom, and Project-Haystack. Brian advised the latest and greatest features in Haystack 4 in the below presentation,
Haystack 4 – Continuing to Advance the Standard, Tools and Capabilities
There has been a tremendous amount of work over the past two years to enhance and extend Haystack tagging. A core focus of the Technical Track will be a detailed review of Haystack 4—the result of almost two years of work by Working Group 551 and which includes a suite of new features to take modelling your data to the next level. Get an update on the latest version of nHaystack for Niagara systems, Current, powered by GE, is applying Haystack 4 to lighting systems and participate in other working groups.
•Vocabulary (improved with conjuncts!)
•Taxonomy (new with subtyping!)
•Ontology (all new!)
•Inference (better tools and queries!)
Brian Frank Explains Haystack 4
Haystack 4 Is Coming – What it Is and Why it Matters
May 02, 2019 Written by John Petze
Haystack 4 - A Brief Introduction
The understanding of the need for semantic modeling of device and equipment data has matured significantly in the last decade and the requirements and techniques for applying semantic modeling to equipment data are advancing rapidly. As we have learned, semantic modeling is critical for humans to work with and understand the ever-increasing amount of data coming from their systems, but the process of manually applying that semantic model is not scalable. We need our tools to simplify and automate how the semantic model is applied.
Haystack 4 builds on the 8 years of experience in applying Haystack across thousands of buildings worldwide, the input from practitioners in the community throughout that time, as well the collaborators that have participated in the activities of Haystack Working Group 551 over the past year. The way you configure tags today using Haystack will not change, but as you will see, the way the tags get modeled within Haystack systems will enable the tools you use to become smarter so you spend less time manually configuring tags and more time getting value out of the raw data coming from your IoT devices.
This Raspberry device was part of the fun 10 minutes Pitchfest in which all the pitchers got to tell us something we did not know. Several of the Pitchfest are recorded on this YouTube
I did not know this low-cost controller could connect to cloud via Microsoft Azure, also anything that supports "REST" (A RESTful API -- also referred to as a RESTful web service -- is based on representational state transfer (REST) technology, an architectural style and approach to communications) and now is able to use rapidly evolving Haystack tagging of data.
BASpi – Raspberry Pi based BAS controllers reach the cloud, open minds, and infinite possibilities - Zach Netsov, Product Specialist, Contemporary Controls
The BASpi currently provides Azure cloud connectivity out of the box. The Azure cloud gives users great flexibility and ease of setup in their “IoT Central” portal. Provisioning the BASpi in Azure IoT Central is very simple and straight forward, even kids can do it - they actually have. Currently, Azure allow up to 5 devices with modest bandwidth to connect for free! Thanks to the BASpi’s simplified cloud configuration web page, provisioning is a breeze. Simply create an account with Azure IoT Central, create a new device in the portal, copy the Scope ID, Device ID, and Primary Key and paste them into the respective fields in the BASpi’s cloud configuration web page. Set your Poll Rate, check off the points you want, and you are ready to push these points to the cloud or receive commands on points from the cloud.
The BASpi REST API allows advanced users or developers to utilize the BASpi’s capabilities in custom applications such as interfacing with legacy servers, mobile applications, third party applications, cloud servers, web servers, and really anything which supports REST. The BASpi REST interface presents a path-oriented method of reading and writing values from/to the BASpi. All data points within the BASpi are accessed as if they are part of an XML document. Each I/O or virtual point is represented by an 'object'. You can read and write BASpi values using the HTML POST method with an XML data payload.
The complete BASpi series was showcased at the 2019 Haystack Connect May 13-15 in beautiful San Diego, California and in our presentation in the General Session & Pitchfest track – “BAS Controller With Haystack Powered by Raspberry Pi”
This product uses new low cost technologies to connect to several connection communities using open standards and is a model for new controls moving forward.
New tools as defined by https://www.project-haystack.org/ need to be open and evolving
This article shows how Manufacturers are building creative communities using concepts like Haystack.
How to build a “needle-finding” machine Today, the rules are changing. The entry of the IoT world into buildings has not yet been noticed by everyone. - Krzysztof Jaczewski, Key Account Manager, Global Control 5
Data surrounds us, and the amount grows very fast within every second. Sensors, machines and other devices which are inbuilt in buildings produce a lot of chaotic and unsorted information. In addition, data on the use of commercial buildings is still often proprietary and difficult to access. Unfortunately, the construction industry is more conservative than others and has lagged behind. As a result, often overused term BIoT means only a mixture of wheat and chaff. In this case, collected data causes only significant costs of information storage.
First of all, the data set should be cleaned and sorted in order to make it easier to find valuable and reliable information. To use a more colloquial turn of phrase, we have to make more needles in a haystack than hay. It is obvious that in this case, the use of magnet or matches will be ineffective. So that is where Project Haystack comes.
Project Haystack is an open source initiative to develop tag naming conventions and taxonomies for modelling and easily utilizing data from various sources for analysis and decision making. The metadata methodology enables understanding of data and its interpretation, both by people and machines. Members of the Project Haystack community have created software plugins to allow different systems to communicate in the haystack protocol. As an example, we can use the nHaystack module for NiagaraŽ systems.
It means that Haystack is not just a tag definition but also a protocol which brings more information than the BACnet standard. nHaystack is a Niagara 4 module that enables Niagara stations to act as servers or clients in the Project Haystack format, via a RESTful protocol. When acting as a server, nHaystack automatically generates standard tags for all ControlPoints.
Cool products from Global Control 5 YouTube
[an error occurred while processing this directive] I was the moderator for this session Haystack in Practice – Application in the Real World
We need to prepare for robot machines to interface with our data while helping us create these new virtual environments.
I was very pleased to meet and introduce the new "Kidd" on the block from Australia who was into "Job Crafting" her niche as a Data Scientist helping our industry grow younger while telling us what we did not know about using machine learning to create Auto-Tagging, see more about our session below,
Moderator: Ken Sinclair, Editor/Owner/Founder, AutomatedBuildings.com
Auto-tagging With Machine Learning: Lucy Kidd, Data Scientist, Bueno
Haystack at Scale in a Municipal Environment: Zach Wilson, Managing Partner, New City Energy
It was great to see major players at events such as Siemens who has just bought J2 Innovations, plus GE Lighting Systems and Intel making Haystack available at a chip level.
Several of the Pitchfests are recorded on this YouTube including Intel edge insights, Haystack Data Pump
I missed this session as it was on at the same time as my session
Moderator: Scott Muench, Vice President Marketing & Business Development, J2 Innovations
J2 Innovations is a fast growing, innovative software development company based in California that created FIN Framework, which is a state-of-the-art open framework for building automation and IoT application
FIN Framework is natively based on the Haystack semantic tagging standard, which enables much better use of the data flowing from the buildings systems to improve operational & energy efficiency, space utilisation and employee productivity to maximise the return on the investment.
Haystack 4.0 and Lighting Systems: Jeremy Yon, Senior Systems Engineer, Current powered by GE
Breaking Data Silos with Project Haystack & Enabling Machine Learning in Buildings: Vani Desai, Systems Architect, IOTG Industrial Solutions Division, Intel Corporation
You Do Not Know What You Do Not Know